Peerasak Srinives

4.8k total citations
165 papers, 3.0k citations indexed

About

Peerasak Srinives is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Peerasak Srinives has authored 165 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 143 papers in Plant Science, 25 papers in Molecular Biology and 14 papers in Agronomy and Crop Science. Recurrent topics in Peerasak Srinives's work include Soybean genetics and cultivation (64 papers), Agricultural pest management studies (48 papers) and Genetic and Environmental Crop Studies (39 papers). Peerasak Srinives is often cited by papers focused on Soybean genetics and cultivation (64 papers), Agricultural pest management studies (48 papers) and Genetic and Environmental Crop Studies (39 papers). Peerasak Srinives collaborates with scholars based in Thailand, Japan and United States. Peerasak Srinives's co-authors include Prakit Somta, Akito Kaga, ‍Norihiko Tomooka, Duncan A. Vaughan, Sompong Chankaew, Patcharin Tanya, Worapa Seehalak, Alisa Kongjaimun, Takehisa Isemura and Sithichoke Tangphatsornruang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Plant and Soil.

In The Last Decade

Peerasak Srinives

155 papers receiving 2.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peerasak Srinives Thailand 32 2.7k 441 237 221 136 165 3.0k
Gerald J. Seiler United States 26 2.3k 0.8× 792 1.8× 408 1.7× 214 1.0× 184 1.4× 150 2.7k
Ryo Akashi Japan 20 1.0k 0.4× 597 1.4× 113 0.5× 274 1.2× 283 2.1× 131 1.5k
Ndiaga Cissé Senegal 28 2.1k 0.8× 348 0.8× 248 1.0× 95 0.4× 341 2.5× 81 2.3k
Palakolanu Sudhakar Reddy India 29 1.9k 0.7× 1.1k 2.5× 140 0.6× 108 0.5× 101 0.7× 76 2.4k
Dongfa Sun China 25 1.7k 0.6× 617 1.4× 414 1.7× 97 0.4× 222 1.6× 54 2.0k
Silvana Creste Brazil 20 1.4k 0.5× 565 1.3× 240 1.0× 137 0.6× 56 0.4× 57 1.8k
C. L. L. Gowda India 27 2.2k 0.8× 292 0.7× 221 0.9× 327 1.5× 235 1.7× 57 2.6k
Geung‐Joo Lee South Korea 17 1.0k 0.4× 470 1.1× 108 0.5× 129 0.6× 100 0.7× 114 1.4k
G. A. Pederson United States 22 1.3k 0.5× 303 0.7× 373 1.6× 176 0.8× 461 3.4× 85 1.8k
Henriette Schluepmann Netherlands 23 2.9k 1.1× 1.3k 3.0× 85 0.4× 144 0.7× 107 0.8× 35 3.3k

Countries citing papers authored by Peerasak Srinives

Since Specialization
Citations

This map shows the geographic impact of Peerasak Srinives's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peerasak Srinives with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peerasak Srinives more than expected).

Fields of papers citing papers by Peerasak Srinives

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peerasak Srinives. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peerasak Srinives. The network helps show where Peerasak Srinives may publish in the future.

Co-authorship network of co-authors of Peerasak Srinives

This figure shows the co-authorship network connecting the top 25 collaborators of Peerasak Srinives. A scholar is included among the top collaborators of Peerasak Srinives based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peerasak Srinives. Peerasak Srinives is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Taeprayoon, Puntaree, et al.. (2024). Implications of genotypic and phenotypic variation in Dura × Dura oil palm for maternal selection. Agriculture and Natural Resources. 58(1). 1 indexed citations
2.
Tanya, Patcharin, et al.. (2022). Biomass yield stability of interspecific Jatropha hybrids through multiple harvest rotations with varying harvest ages. Agriculture and Natural Resources. 56(6). 1 indexed citations
4.
Taeprayoon, Puntaree, Patcharin Tanya, Suk‐Ha Lee, & Peerasak Srinives. (2015). Genetic background of three commercial oil palm breeding populations in Thailand revealed by SSR markers.. Australian Journal of Crop Science. 9(4). 281–288. 5 indexed citations
5.
Somta, Prakit, et al.. (2014). Generation mean and path analyses of reaction to mungbean yellow mosaic virus (MYMV) and yield-related traits in mungbean (Vigna radiata (L.) Wilczek).. SABRAO Journal of Breeding and Genetics. 46(1). 150–159. 11 indexed citations
6.
Tanya, Patcharin, et al.. (2014). BREEDING FIELD CROPS FOR ORNAMENTAL PURPOSE: A CASE IN Jatropha spp.. AGRIVITA Journal of Agricultural Science. 36(3). 229–234. 2 indexed citations
7.
Tanya, Patcharin, et al.. (2013). Estimates of repeatability and path coefficient of bunch and fruit traits in Bang Boet dura oil palm.. Journal of Oil Palm Research. 25(1). 108–115. 5 indexed citations
8.
Chankaew, Sompong, et al.. (2012). Comparison of hybrid vigor based on parental distance in SSR markers and agronomic traits in mungbean (Vigna radiata (L.) Wilczek). SHILAP Revista de lepidopterología. 4 indexed citations
9.
Somta, Prakit, et al.. (2012). SSR MAP CONSTRUCTION AND QUANTITATIVE TRAIT LOCI (QTL) IDENTIFICATION OF MAJOR AGRONOMIC TRAITS IN MUNGBEAN (Vigna radiata (L.) Wilczek). SABRAO Journal of Breeding and Genetics. 44(1). 71–86. 19 indexed citations
10.
Somta, Prakit, et al.. (2012). Molecular genetic diversity of Bambara groundnut (Vigna subterranea L. Verdc.) revealed by RAPD and ISSR marker analysis.. SABRAO Journal of Breeding and Genetics. 44(1). 87–101. 24 indexed citations
11.
Srinives, Peerasak, et al.. (2012). Genetic distance and heterotic pattern among single cross hybrids within waxy maize (Zea mays L.).. SABRAO Journal of Breeding and Genetics. 44(2). 382–397. 5 indexed citations
12.
Tanya, Patcharin, et al.. (2011). Heterosis of Agronomic Characters in Jatropha (Jatropha curcas L.). Witthayasan Kasetsat Witthayasat. 45(4). 583–593. 11 indexed citations
13.
Punsuvon, Vittaya, et al.. (2011). Seasonal effects on bunch components and fatty acid composition in Dura oil palm (Elaeis guineensis ). African Journal of Agricultural Research. 6(7). 1835–1843. 19 indexed citations
14.
Lambrides, Christopher J., et al.. (2007). Inheritance of Agronomic Traits and Their Interrelationship in Mungbean (Vigna radiata (L.) Wilczek). Journal of Crop Science and Biotechnology. 10(4). 249–256. 14 indexed citations
15.
Srinives, Peerasak, et al.. (2007). Genetics and Breeding of Resistance to Bruchids (Callosobruchus spp.) in Vigna Crops: A Review. 4(1). 1–17. 24 indexed citations
16.
Tanya, Patcharin, et al.. (2005). Identification of SSR Markers Associated with N2-Fixation Components in Soybean [Glycine max (L.) Merr.]. Genes & Genomics. 27(4). 351–359. 14 indexed citations
17.
Anwar‐ul‐Haq, Muhammad, et al.. (2001). Combining Ability in Mungbean (Vigna radiata (L.) Wilczek). 46(5). 420–423. 5 indexed citations
18.
Srinives, Peerasak, et al.. (2000). Identification of cultivars of vegetable soybeans [Glycine max (L.) Merr.] by RAPD markers.. SABRAO Journal of Breeding and Genetics. 32(2). 63–72. 5 indexed citations
19.
Srinives, Peerasak, et al.. (2000). Differential tolerance of soybean genotypes to glufosinate.. SABRAO Journal of Breeding and Genetics. 32(2). 73–80. 1 indexed citations
20.
Srinives, Peerasak. (1980). Variation and inheritance of hardseededness in soybeans (Glycine max. (L.) Merr.).. IDEALS (University of Illinois Urbana-Champaign). 41(2). 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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